KIN 428 Midterm 2 Flashcards
(408 cards)
Why model the shoulder?
- Gain insight into a closed system 2. Difficult to measure muscle forces, joint contact forces, and ligament forces 3. Test untestable hypothesis such as unsafe loading conditions and trauma 4. Test hypothesis quickly and w/o volunteers to answer “what if” questions
Types of shoulder biomechanical models?
- External models 2. Geometric Models 3. Internal (musculoskeletal models) 4. Composites
What comprises an external model?
Moments and forces…121/221 rigid link model
What comprises a geometric model?
Orthodpaedic models (has bones, not just links) and muscles capability/moment arms
What comprises an internal/musculoskeletal model?
Individual muscle forces, tissue forces (ligaments, tendons, etc), and joint contact force
What comprises a composite model?
Complete mechanisms description…a combination of an external, geometric, and internal model
What is the input for an external dynamic shoulder model?
Subject data (who), task data (what), and motion data (how)
What is the output of an external dynamic shoulder model?
Joint torques and forces
What is the input for geometric shoulder modelling?
Motion data (how)
Considerations for motion data in a geometric reconstruction?
Collection protocol–>marker placement and sampling rate
What are the geometric/orthopedic orientations for a geometric reconstruction model?
Joint center location, shoulder rhythm, and global vs. local positioning
What is the output for geometric reconstruction modeling?
Shoulder geometry
What are the considerations when doing the shoulder geometry in a geometric reconstruction model?
Muscle attachment sites, muscle wrapping, and muscle element definition
3 things to take away form shoulder modeling?
- Everyone represents muscles differently (diff # of mechanical activators of a muscle…no 2 are the same) 2. All perform differently on different criteria (depends on what you really want to look at) 3. Model is only as good as its validation
Why is it important to study muscle forces?
- can provide an objective quantitative indication of tissue loading for a given task/activity 2. This quantity can be related to pain, discomfort, or effort associated with the task 3. Assists in design of worker interfaces that minimize potentially harmful loading muscles 4. Fatigue is a major mechanism of shoulder instability and subsequent tissue damage (to estimate fatigue, you need to know what the muscle is doing)
What do optimization prediction models do?
Use inverse dynamics to calculate joint loading (moments) and minimize a quantity of muscle loading while satisfying equilibrium around all joints
What are the contraints in an optimization models?
Segment muscle composition, muscle force limits, glenohumeral contact force constraints
What are the inputs in an optimization model?
Torque model outputs and geometric model outputs
Internal muscle model outputs show an instanteous and continuous prediction of?
Muscle force, GH stability, internal joint forces (NHJRF), and ligament tension
What is the shoulder stability constraint in an optimization model?
The GH internal joint force (NHJRF) must satisfy a directional stability requirement/ratio. Other models use an ellipoid constraint
When using optimization at the shoulder, what is important to remember?
You should incorporate your knowledge of GH stability into the model to make it more realistic
What are the model limitations of optimization models?
- Assume that the body is attempting to minimize some muscular loading quantity. This has not been proven 2. Historically, do no account well for co-contraction of muscles (Joint stabilization) 3. Do not account for changes in muscle cross-sectional area for different postures when calculating stresses 4. Predict muscles as on/off and the madgitude is touchy 5. Drives by (somewhat subjective) objective function decision
What is one of the most physiologically relevant optimization models?
Soft-saturation method
What are EMG muscle force prediction models, and what do they predict?
Measure recorded surface EMG to estimate muscular loading. Estimates sholder moment generated by predicted muscle forces. Uses external forces to calculate shoulder momente and compare to predicted moment to validate muscle force predictions. Basically and in-out system.